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Markdown-only workbook for Exam GH-600: Developing in Agentic AI Systems.
Last updated: May 24, 2026.
This version is organized around the official GH-600 domains. Each domain explains the concepts, shows the GitHub implementation artifacts, and includes examples you should be able to read in YAML, Markdown, CLI output, PR timelines, and audit logs.
Public sharing note: this guide is not an exam dump and does not contain real exam questions or answer choices. It is a structured study workbook built from official Microsoft and GitHub documentation, with practical examples written for learning and review.
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
✅ Working method (October 2026): baidufast.com
Paste a Baidu Netdisk (百度网盘), Quark Pan (夸克网盘), 123pan (123云盘) or Xunlei (迅雷云盘) share link → see the real size and price → get a direct download link. No account, no Chinese phone number, no app, no 50 KB/s. Files under 150 MB are free. Or post your link in the comments and I'll fetch it for you.
🔄 Last update 24 Oct 2026: Xunlei links are now automatic, and UC Drive and CSDN links are supported too — paste, see size and price, pay, download. PanDownload,
baidu.kinh.cc, userscripts and Telegram bots are dead — see Old methods below.
Starting from an unknown version of Windows 10, programs can no longer access dehydrated (online-only, placeholder) files with CreateFile(Ex) normally.
Consider the following excerpt:
// By default (if the program does not have a manifest, so it runs in Windows Vista mode),
// RtlQueryProcessPlaceholderCompatibilityMode returns PHCM_DISGUISE_PLACEHOLDER, and
// RtlQueryThreadPlaceholderCompatibilityMode returns PHCM_APPLICATION_DEFAULT.| #!/bin/bash | |
| # This script will install AMDGPU-PRO OpenCL and Vulkan support. | |
| # | |
| # For Ubuntu and it's flavor, just install the package using this command | |
| # in extracted driver directory instread. | |
| # | |
| # ./amdgpu-pro-install --opencl=legacy,pal --headless --no-dkms | |
| # | |
| # For Arch Linux or Manjaro, use the opencl-amd or rocm-opencl-runtime on AUR instread. |
Xuất lịch học từ FAP (FPT Academic Portal) sang file ICS để import vào Apple Calendar / Google Calendar.
- Xuất lịch học của tất cả các môn trong kỳ hiện tại
- Support vị trí 5 cơ sở FPT: Hòa Lạc, Đà Nẵng, Cần Thơ, HCM, Quy Nhơn
- Tự động thông báo thời gian di chuyển dựa vị trí trên
Также рекомендую ознакомиться с моим лёгким решением для включения поддержки протокола AmneziaWG 3.1 на роутерах Mikrotik: https://github.com/nskforward/mikwg
💡 Про производительность. AmneziaWG в mikwg использует штатный kernel WireGuard роутера — шифрованием занимается ядро RouterOS. VLESS же из этой инструкции работает в userspace-контейнере (mihomo + TUN-интерфейс), и весь трафик проходит через него. По замерам на живом роутере нагрузка на CPU у mihomo примерно вдвое выше, чем у mikwg. На слабых моделях это заметно, поэтому если вам достаточно AmneziaWG — сначала посмотрите в сторону mikwg.
Обновление от 04.10.2026
Инструкция предполагает, что ваш роутер сброшен до заводских настроек, а домашняя сеть имеет адрес 192.168.88.0/24. Если у вас другая подсеть — замените 192.168.88.0/24 на свою во всех правилах ниже.
Инструкция проверена на RouterOS версии 7.24.5.






